11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 7 cited
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie, Yezi Liu, Yanning Shen
Graph Neural Networks (GNNs) have shown remarkable effectiveness in capturing abundant information in graph-structured data. However, the black-box nature of GNNs hinders users fro…
cs.IR2021
Multiple Interest and Fine Granularity Network for User Modeling
Jiaxuan Xie, Jianxiong Wei, Qingsong Hua +1
User modeling plays a fundamental role in industrial recommender systems, either in the matching stage and the ranking stage, in terms of both the customer experience and business…
cs.LG2019★ 11 cited
Deep Kernel Learning via Random Fourier Features
Jiaxuan Xie, Fanghui Liu, Kaijie Wang +1
Kernel learning methods are among the most effective learning methods and have been vigorously studied in the past decades. However, when tackling with complicated tasks, classical…